cartosat dem
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2021 ◽  
Author(s):  
Venkatesh Kasi ◽  
Pavan Kumar Yeditha ◽  
Maheswaran Rathinasamy ◽  
Chandramouli Sangamreddi

2021 ◽  
Author(s):  
Er. Hirapara Paras ◽  
Parmar Sanjay ◽  
Ram Vaibhav

Watershed morphological analysis is momentous for controlling floods risk, forethought and management of the watershed area, as well as it is foremost useful to perceive catchment hydrology. Remote sensing and geographic information system are used in recent times as a tool for watershed delineation and its planning. Many types of input parameters generally use for watershed delineation such as Toposheet, ALOS, SRTM DEM, ASTER DEM and CARTOSAT DEM. Based on analysis SRTM DEM gives meticulous and clear results compared to other DEM files. Morphometric based prioritization of watershed was given in many research papers but an appropriate result of priority range was not given and this type of study confusing to evaluate the rank of priority based on its erosional behaviour. In many papers results of morphometric parameters were not indicate how to retaliate these results of morphometric parameters to a watershed. This paper deals with the implication of different values of morphometric parameters with adequate contextual information. This review paper can give useful information for the morphometric analysis of watersheds.


2020 ◽  
Vol 13 (4) ◽  
pp. 1139-1150 ◽  
Author(s):  
Venkatesh Kasi ◽  
Pavan Kumar Yeditha ◽  
Maheswaran Rathinasamy ◽  
Ramdas Pinninti ◽  
Sankar Rao Landa ◽  
...  

2019 ◽  
Vol 6 (1) ◽  
pp. 471-478
Author(s):  
Ritesh Agarwal ◽  
Koyel Sur ◽  
A. S. Rajawat

Author(s):  
P. K. Gupta ◽  
P. Yadav

Digital elevation model (DEM) provides elevation information in raster format for an area which help in analysis as these phenomena are gravity depended. Hydrological study requires creation of drainage network map. DEM is the primary input for this process. Generally 6 or more processes are required to be completed to get the drainage network. These are available in form of hydrology tools in the ArcGIS software. These processes are manual and time consuming which increases the chances of human error. An automated process is constructed in this paper which aims to create a tool that can handle multiple files in an intelligent manner. <br><br> The input DEM plays a significant role in hydrological studies. This study attempts to do a comparative study to analyse the variation in the drainage network and the intermediate products with the change in the input DEM. <br><br> A tool is created using ArcPy site package in Python programming language to integrate all required hydrology tools. The script is then used to create a tool in ArcGIS 10 which takes location as an input parameter and perform the process on all the DEM files inside the directory. The tool creates separate directory for every DEM file and thus reduces the chances of file mismanagement. The proposed tool is tested on two different datasets namely ASTER GDEM and Cartosat DEM. The tool runs efficiently on both the datasets and thus provides results to compare the drainage pattern produced by these different data sources.


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